A density-based similarity matrix construction for spectral clustering.
Mario BeaucheminPublished in: Neurocomputing (2015)
Keyphrases
- spectral clustering
- similarity matrix
- clustering method
- clustering algorithm
- k means
- pairwise
- data clustering
- graph partitioning
- image segmentation
- normalized cut
- eigendecomposition
- similarity measure
- nonnegative matrix factorization
- subspace clustering
- cluster analysis
- negative matrix factorization
- dimension reduction
- information retrieval
- maximum likelihood
- latent semantic indexing
- co occurrence
- association rules
- data analysis
- image processing